Triple

T11750186
Position Surface form Disambiguated ID Type / Status
Subject T-33 Shooting Star E279384 entity
Predicate manufacturer P490 FINISHED
Object Lockheed E330361 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Lockheed | Statement: [T-33 Shooting Star, manufacturer, Lockheed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lockheed
Context triple: [T-33 Shooting Star, manufacturer, Lockheed]
  • A. Lockheed Aircraft Company chosen
    Lockheed Aircraft Company was a major American aerospace manufacturer known for producing influential military and civilian aircraft throughout the 20th century.
  • B. Northrop
    Northrop is a major American aerospace and defense company known for designing and producing advanced military aircraft and related technologies.
  • C. Convair
    Convair was a major American aerospace and defense contractor known for producing military aircraft, airliners, and early space launch vehicles during the mid-20th century.
  • D. Douglas Aircraft Company
    Douglas Aircraft Company was a major American aerospace manufacturer known for producing influential military and commercial aircraft throughout much of the 20th century.
  • E. Lockheed Martin
    Lockheed Martin is a major American aerospace and defense company known for designing and producing advanced military aircraft, missiles, and space systems.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a508b0c4819082fbcc27d559ea2f completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f6344d86648190ad270517b36c8815 completed May 2, 2026, 5:28 p.m.
Created at: April 8, 2026, 9:41 p.m.